is a way of distributing computational tasks over a bunch of nearby processors that is good for speed and resilience and does not depend on a single source of computational power.1 point

The concept you're referring to is known as Distributed Computing. Here's a step-by-step explanation:

1. Distributed computing is a model in which computational tasks are performed by a collection of interconnected, but independent computers.

2. This model is designed to be very efficient and robust, as tasks are divided among multiple machines. This means that even if one machine fails, the task can still be completed by the others.

3. The distributed computing model does not rely on a single source of computational power. Instead, it leverages the power of multiple machines, often located in close proximity to each other, to perform tasks more quickly and efficiently.

4. This model is particularly useful for tasks that are too large or complex for a single machine to handle. By distributing the task across multiple machines, it can be completed more quickly and efficiently.

5. In addition to speed and efficiency, distributed computing also offers increased resilience. If one machine in the network fails, the others can pick up the slack, ensuring that the task is still completed.

6. Overall, distributed computing is a powerful tool for handling large, complex computational tasks. It offers increased speed, efficiency, and resilience, and does not depend on a single source of computational power.